Securitization and the Impacts and Perceptions of Migration Post-2015: A Scoping Review of Canada and Germany
Bibliographic record
Abstract
<p>This MRP looks at the responses of Canada and Germany to the 2015 refugee crisis.Applying a postcolonial lens to securitization theory and understanding, this research critically looks at the contexts surrounding Canada and Germany's responses and in how these countries implemented securitizing measures, looking at the inherent issues within the act. Through a scoping review, themes of the literature include national identity, the grapple between 'new Canadians' and 'willkommenskultur,' the role of the media, the role of the audience, and the gendering and racialising of refugees. With the goal in mind of what the future of securitization theory could look at, this paper also offers suggestions on how to reconcile with securitization following the critical postcolonial lens on the responses of Canada and Germany.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".